AI Agents
LangBot
A production-grade platform for building agentic chat bots on every IM platform
★ 18.1k starsApache-2.0
View guide →A zero-code platform for auto-generating production-grade AI agents with unified tools, skills and memory.
nexent is an open-source ai agents project by ModelEngine-Group (ModelEngine-Group/nexent on GitHub). It has 5,900 GitHub stars and 737 forks, is released under the MIT license, and was last updated on GitHub on 8 October 2026.
Describe the job in natural language — its data sources, tools and the answers it must produce.
Clone the repo and run the deployment script with Docker, or Kubernetes for a production cluster.
Connect your LLM/embedding providers and import your documents into the knowledge base.
Use the zero-code flow to generate an agent from your description, test it, and publish a version.
Describe requirements in natural language and generate executable agents instantly — what you think is what you get.
OpenAI-compatible with any provider, with full LLM, embedding, vision, speech-to-text and text-to-speech coverage and easy model switching.
Agent-to-Agent protocol support enables multi-agent cooperation and distributed workflows.
Two-tier memory (user-level and user-agent-level) keeps context persistent across conversations.
Real-time import and intelligent retrieval over 20+ document formats, with auto summaries and fine-grained access control, plus knowledge-level citations for traceability.
An agent marketplace with one-click installs, agent version management with rollback, multi-tenant isolation and role-based access control.
Clone Nexent and enter the project directory.
git clone https://github.com/ModelEngine-Group/nexent.git
cd nexentRun the deployment script in Docker mode (recommended for individuals and small teams).
bash deploy.sh dockerFor enterprise production, the same script targets a Kubernetes cluster.
bash deploy.sh k8sNexent is maintained by ModelEngine-Group, with documentation on its project site.
Yes — it is open source under the MIT license. You pay for the models and infrastructure you connect.
You connect your own model providers (any OpenAI-compatible endpoint), so you need an account or key for the models you choose, or a self-hosted endpoint.
All are low/zero-code agent platforms; Nexent's focus is auto-generating agents from natural language with harness-style constraints, layered memory, A2A collaboration and enterprise multi-tenancy in one open-source package.
Clone the repo and run bash deploy.sh docker, then follow the Quick Start to configure a model and generate your first agent.
A production-grade platform for building agentic chat bots on every IM platform
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Free and open — grab the source, star the repo, and start creating.